cog_vars <- c("NAR_Overall_Accuracy","NAR_Overall_Efficiency","NAR_F1_Social_Cognition_Efficiency","mpraxis_mp2rtcr")
for (brain_var in c("Accumbens_Area","Putamen","Caudate")) {
cat(brain_var)
thisTab <- mpdf
for (beh_var in cog_vars) {
cat(beh_var)
mplusTable <- thisTab %>%
filter(bblid %in% rmBBLIDs$bblid) %>%
select_("bblid","visitnum","age",beh_var,brain_var,"sex","sequence","timepoint")%>%
arrange(bblid)
widetab <- mplusTable %>% pivot_wider(names_from = visitnum, id_cols = c(bblid,sex), values_from = c(age,brain_var,beh_var,sequence, timepoint))# %>%
# rowwise() %>%
# mutate(Psychosis = mean(c(Psychosis_1,Psychosis_2,Psychosis_2),na.rm=T),Accumbens_Area = mean(c(Accumbens_Area_1,Accumbens_Area_2,Accumbens_Area_3),na.rm=T))
tab1 <- widetab %>%
select(bblid,sex,contains("_1"),contains("_2"))
names(tab1) <- gsub(colnames(tab1),pattern = "_1",replacement = "_Past")
names(tab1) <- gsub(colnames(tab1),pattern = "_2",replacement = "_Cur")
tab2 <- widetab %>%
filter(!is.na(age_3)) %>%
select(bblid,sex,contains("_2"),contains("_3"))
names(tab2) <- gsub(colnames(tab2),pattern = "_2",replacement = "_Past")
names(tab2) <- gsub(colnames(tab2),pattern = "_3",replacement = "_Cur")
mptab <- rbind(tab1,tab2) %>%
mutate(Elapsed = age_Cur - age_Past)
#prepareMplusData(mptab,"./test_mplus_input.dat",inpfile = F,writeData = "always",overwrite = T)
#runModels(showOutput = T)
#write.csv(mptab,"~/mplus_vars.csv",row.names = F)
deltaTable <- mptab %>%
ungroup() %>%
mutate(Beh_delta = get(paste0(beh_var,"_Cur")) - get(paste0(beh_var,"_Past")))%>%
filter(Beh_delta != 111110) %>%
mutate(Beh_res=residuals(lmer(as.formula(sprintf('%s_Cur ~ %s_Past+ (1|bblid)',beh_var,beh_var)), data = .),type = "pearson"),
Beh_delta_res = residuals(lmer(as.formula(sprintf('Beh_delta ~ %s_Past + (1|bblid)',beh_var)),data = .),type = "pearson"),
Brain_delta = get(paste0(brain_var,"_Cur")) - get(paste0(brain_var,"_Past")),
Brain_res=residuals(lmer(as.formula(sprintf('%s_Cur ~ %s_Past+ (1|bblid)',brain_var,brain_var)), data = .),type = "pearson"),
Brain_delta_res = residuals(lmer(as.formula(sprintf('Brain_delta ~ %s_Past + (1|bblid)',brain_var)),data = .),type = "pearson")
)%>%
filter(Brain_res<50 & Brain_res>-50) %>%
filter(Beh_res<5000000)
cat('\n\n',brain_var,beh_var,'\n')
# print(summary(lmer(Beh_res ~ Brain_res*Elapsed*age_Past + sequence_Past + sequence_Cur + sex+(1|bblid),data = deltaTable)))
# print(plot_model(lmer(Beh_res ~ Brain_res*Elapsed*age_Past + sex+(1|bblid),data = deltaTable),type = 'int',show.p = T))
#
print(summary(lmer(Beh_res ~ Brain_res*Elapsed + age_Past + sex + sequence_Past + sequence_Cur+(1|bblid),data = deltaTable)))
# print(plot_model(lm(Beh_res ~ Brain_res*Elapsed + age_Past + sex + sequence_Past + sequence_Cur,data = deltaTable),type = 'int',show.values = T,show.p = T,
# axis.title = c(sprintf('%s (res change)',brain_var),sprintf('%s (res change)',beh_var))))
print(summary(lmer(Beh_res ~ Brain_res*age_Past + sex + sequence_Past + timepoint_Cur + sequence_Cur+(1|bblid),data = deltaTable)))
# print(plot_model(lm(Beh_res ~ Brain_res*age_Past + sex + sequence_Past + sequence_Cur,data = deltaTable),type = 'int',show.values = T,show.p = T,
# axis.title = c(sprintf('%s (res change)',brain_var),sprintf('%s (res change)',beh_var))))
l <- lmer(Beh_res ~ Brain_res + Elapsed + age_Past + sex +(1|bblid),data = deltaTable)
print(summary(l))
# c< -coef(l)
# a<-c["(Intercept)"]
# b <- c["Brain_res"]
# ggplot(data = deltaTable, aes(x = Brain_res, y = Beh_res)) + geom_abline(intercept = a, slope =b) + geom_point()
print(plot_model(l,type = "pred",terms = "Brain_res",show.data = T,axis.title = c(sprintf('%s (res change)',brain_var),sprintf('%s (res change)',beh_var))))
l <- lmer(Beh_res ~ Brain_res+(1|bblid),data = deltaTable)
print(summary(l))
print(plot_model(l,type = "pred",terms = "Brain_res",show.data = T,axis.title = c(sprintf('%s (res change)',brain_var),sprintf('%s (res change)',beh_var))))
l <- lmer(Beh_delta ~ Brain_delta+(1|bblid),data = deltaTable)
print(summary(l))
print(plot_model(l,type = "pred",terms = "Brain_delta",show.data = T,axis.title = c(sprintf('%s (delta)',brain_var),sprintf('%s (delta)',beh_var))))
}
}
## Accumbens_AreaNAR_Overall_Accuracy
## Warning: select_() is deprecated.
## Please use select() instead
##
## The 'programming' vignette or the tidyeval book can help you
## to program with select() : https://tidyeval.tidyverse.org
## This warning is displayed once per session.
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Accumbens_Area NAR_Overall_Accuracy
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 349.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3826 -0.6185 0.0016 0.6461 2.9347
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.1857 0.4309
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 0.077473 0.278746 264.000000
## Brain_res -0.065823 0.024152 264.000000
## Elapsed 0.036526 0.035468 264.000000
## age_Past 0.001538 0.008615 264.000000
## sexfemale -0.098409 0.052913 264.000000
## sequence_PastB0map_onesizefitsall_v3 -0.162150 0.205956 264.000000
## sequence_PastB0map_v4 -0.745769 0.330298 264.000000
## sequence_CurB0map_v4 0.009261 0.077505 264.000000
## Brain_res:Elapsed 0.031773 0.008876 264.000000
## t value Pr(>|t|)
## (Intercept) 0.278 0.781280
## Brain_res -2.725 0.006853 **
## Elapsed 1.030 0.304033
## age_Past 0.178 0.858468
## sexfemale -1.860 0.064020 .
## sequence_PastB0map_onesizefitsall_v3 -0.787 0.431810
## sequence_PastB0map_v4 -2.258 0.024771 *
## sequence_CurB0map_v4 0.119 0.904974
## Brain_res:Elapsed 3.580 0.000409 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res -0.069
## Elapsed -0.431 0.371
## age_Past -0.573 -0.135 0.038
## sexfemale -0.038 0.043 0.044 -0.098
## sqnc_PB0__3 -0.854 0.112 0.260 0.159 -0.035
## sqnc_PsB0_4 -0.524 0.132 0.283 0.026 -0.024 0.625
## sqnc_CrB0_4 0.274 -0.295 -0.530 -0.278 -0.029 -0.132 -0.223
## Brn_rs:Elps 0.112 -0.895 -0.435 0.199 -0.067 -0.164 -0.146 0.127
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 368.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1831 -0.6242 0.0224 0.6415 2.7421
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 1.089e-16 1.044e-08
## Residual 1.990e-01 4.461e-01
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 0.134775 0.287823 264.000000
## Brain_res 0.034464 0.038614 264.000000
## age_Past -0.005094 0.008892 264.000000
## sexfemale -0.087728 0.054724 264.000000
## sequence_PastB0map_onesizefitsall_v3 -0.099090 0.210751 264.000000
## sequence_PastB0map_v4 -0.723733 0.333079 264.000000
## timepoint_Cur.L -0.086264 0.074535 264.000000
## sequence_CurB0map_v4 0.182679 0.104287 264.000000
## Brain_res:age_Past -0.001576 0.002496 264.000000
## t value Pr(>|t|)
## (Intercept) 0.468 0.6400
## Brain_res 0.893 0.3729
## age_Past -0.573 0.5672
## sexfemale -1.603 0.1101
## sequence_PastB0map_onesizefitsall_v3 -0.470 0.6386
## sequence_PastB0map_v4 -2.173 0.0307 *
## timepoint_Cur.L -1.157 0.2482
## sequence_CurB0map_v4 1.752 0.0810 .
## Brain_res:age_Past -0.631 0.5283
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.045
## age_Past -0.636 0.115
## sexfemale -0.033 -0.056 -0.086
## sqnc_PB0__3 -0.850 0.067 0.216 -0.049
## sqnc_PsB0_4 -0.493 0.029 0.061 -0.035 0.609
## timpnt_Cr.L 0.410 0.187 -0.190 -0.037 -0.180 -0.167
## sqnc_CrB0_4 -0.284 -0.248 -0.034 0.019 0.135 0.067 -0.763
## Brn_rs:g_Ps 0.079 -0.957 -0.097 0.046 -0.099 -0.033 -0.157 0.130
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 353.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.09961 -0.64379 0.03825 0.69348 2.64405
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.1951 0.4418
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.041338 0.140022 268.000000 -0.295 0.768051
## Brain_res 0.009509 0.009964 268.000000 0.954 0.340791
## Elapsed 0.091218 0.027211 268.000000 3.352 0.000917 ***
## age_Past -0.007631 0.008016 268.000000 -0.952 0.341962
## sexfemale -0.088003 0.054040 268.000000 -1.628 0.104596
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.169
## Elapsed -0.399 -0.325
## age_Past -0.849 -0.013 -0.055
## sexfemale -0.135 -0.060 0.017 -0.094
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 351.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.08888 -0.60805 0.04626 0.62669 3.05182
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2037 0.4514
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -2.783e-16 2.732e-02 2.710e+02 0.00 1.0000
## Brain_res 1.911e-02 9.605e-03 2.710e+02 1.99 0.0476 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 441.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7597 -0.6647 -0.0172 0.5859 3.2036
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.000
## Residual 0.2841 0.533
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.33283 0.03625 271.00000 9.182 <2e-16 ***
## Brain_delta 0.01896 0.01094 271.00000 1.733 0.0842 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.456
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## NAR_Overall_Efficiency
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Accumbens_Area NAR_Overall_Efficiency
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 133.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1138 -0.5180 -0.0061 0.6836 4.1782
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.000
## Residual 0.08181 0.286
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.073480 0.185025 264.000000
## Brain_res -0.002120 0.016031 264.000000
## Elapsed 0.014775 0.023543 264.000000
## age_Past -0.013193 0.005718 264.000000
## sexfemale 0.059288 0.035122 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.219969 0.136708 264.000000
## sequence_PastB0map_v4 0.087455 0.219244 264.000000
## sequence_CurB0map_v4 -0.023047 0.051446 264.000000
## Brain_res:Elapsed 0.008186 0.005892 264.000000
## t value Pr(>|t|)
## (Intercept) -0.397 0.6916
## Brain_res -0.132 0.8949
## Elapsed 0.628 0.5308
## age_Past -2.307 0.0218 *
## sexfemale 1.688 0.0926 .
## sequence_PastB0map_onesizefitsall_v3 1.609 0.1088
## sequence_PastB0map_v4 0.399 0.6903
## sequence_CurB0map_v4 -0.448 0.6545
## Brain_res:Elapsed 1.389 0.1659
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res -0.069
## Elapsed -0.431 0.371
## age_Past -0.573 -0.135 0.038
## sexfemale -0.038 0.043 0.044 -0.098
## sqnc_PB0__3 -0.854 0.112 0.260 0.159 -0.035
## sqnc_PsB0_4 -0.524 0.132 0.283 0.026 -0.024 0.625
## sqnc_CrB0_4 0.274 -0.295 -0.530 -0.278 -0.029 -0.132 -0.223
## Brn_rs:Elps 0.112 -0.895 -0.435 0.199 -0.067 -0.164 -0.146 0.127
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 137.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0190 -0.5351 -0.0528 0.6899 4.5174
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08282 0.2878
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.011055 0.185696 264.000000
## Brain_res 0.035370 0.024913 264.000000
## age_Past -0.015362 0.005737 264.000000
## sexfemale 0.060672 0.035307 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.223491 0.135972 264.000000
## sequence_PastB0map_v4 0.066584 0.214894 264.000000
## timepoint_Cur.L 0.002048 0.048088 264.000000
## sequence_CurB0map_v4 0.002313 0.067283 264.000000
## Brain_res:age_Past -0.001160 0.001611 264.000000
## t value Pr(>|t|)
## (Intercept) -0.060 0.95257
## Brain_res 1.420 0.15687
## age_Past -2.678 0.00787 **
## sexfemale 1.718 0.08689 .
## sequence_PastB0map_onesizefitsall_v3 1.644 0.10144
## sequence_PastB0map_v4 0.310 0.75692
## timepoint_Cur.L 0.043 0.96606
## sequence_CurB0map_v4 0.034 0.97260
## Brain_res:age_Past -0.720 0.47192
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.045
## age_Past -0.636 0.115
## sexfemale -0.033 -0.056 -0.086
## sqnc_PB0__3 -0.850 0.067 0.216 -0.049
## sqnc_PsB0_4 -0.493 0.029 0.061 -0.035 0.609
## timpnt_Cr.L 0.410 0.187 -0.190 -0.037 -0.180 -0.167
## sqnc_CrB0_4 -0.284 -0.248 -0.034 0.019 0.135 0.067 -0.763
## Brn_rs:g_Ps 0.079 -0.957 -0.097 0.046 -0.099 -0.033 -0.157 0.130
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 122.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9840 -0.5339 -0.0246 0.6913 4.3868
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08247 0.2872
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.208254 0.091025 268.000000 2.288 0.022923 *
## Brain_res 0.017557 0.006477 268.000000 2.711 0.007150 **
## Elapsed 0.017015 0.017689 268.000000 0.962 0.336990
## age_Past -0.018113 0.005211 268.000000 -3.476 0.000593 ***
## sexfemale 0.064948 0.035130 268.000000 1.849 0.065589 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.169
## Elapsed -0.399 -0.325
## age_Past -0.849 -0.013 -0.055
## sexfemale -0.135 -0.060 0.017 -0.094
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 117.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.7479 -0.5767 -0.0038 0.6732 4.9017
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08612 0.2935
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.305e-17 1.776e-02 2.710e+02 0.000 1.00000
## Brain_res 1.947e-02 6.245e-03 2.710e+02 3.118 0.00202 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 433.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.8154 -0.6428 -0.1290 0.5522 4.9309
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.02455 0.1567
## Residual 0.25194 0.5019
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.36003 0.03599 172.28230 10.004 < 2e-16 ***
## Brain_delta 0.02866 0.01074 200.80956 2.669 0.00823 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.450
## NAR_F1_Social_Cognition_Efficiency
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Accumbens_Area NAR_F1_Social_Cognition_Efficiency
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 421.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0786 -0.5683 0.0722 0.6526 2.7323
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.000 0.000
## Residual 0.244 0.494
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.118020 0.319561 264.000000
## Brain_res -0.004623 0.027688 264.000000
## Elapsed 0.039430 0.040661 264.000000
## age_Past -0.009159 0.009876 264.000000
## sexfemale 0.125491 0.060660 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.078586 0.236113 264.000000
## sequence_PastB0map_v4 -0.037977 0.378662 264.000000
## sequence_CurB0map_v4 0.034454 0.088853 264.000000
## Brain_res:Elapsed 0.013156 0.010175 264.000000
## t value Pr(>|t|)
## (Intercept) -0.369 0.7122
## Brain_res -0.167 0.8675
## Elapsed 0.970 0.3331
## age_Past -0.927 0.3546
## sexfemale 2.069 0.0395 *
## sequence_PastB0map_onesizefitsall_v3 0.333 0.7395
## sequence_PastB0map_v4 -0.100 0.9202
## sequence_CurB0map_v4 0.388 0.6985
## Brain_res:Elapsed 1.293 0.1972
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res -0.069
## Elapsed -0.431 0.371
## age_Past -0.573 -0.135 0.038
## sexfemale -0.038 0.043 0.044 -0.098
## sqnc_PB0__3 -0.854 0.112 0.260 0.159 -0.035
## sqnc_PsB0_4 -0.524 0.132 0.283 0.026 -0.024 0.625
## sqnc_CrB0_4 0.274 -0.295 -0.530 -0.278 -0.029 -0.132 -0.223
## Brn_rs:Elps 0.112 -0.895 -0.435 0.199 -0.067 -0.164 -0.146 0.127
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 425.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.8895 -0.5670 -0.0062 0.6485 2.6999
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2469 0.4969
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 0.031478 0.320607 264.000000
## Brain_res 0.078167 0.043013 264.000000
## age_Past -0.012778 0.009904 264.000000
## sexfemale 0.125702 0.060958 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.073977 0.234757 264.000000
## sequence_PastB0map_v4 -0.106686 0.371017 264.000000
## timepoint_Cur.L 0.013182 0.083025 264.000000
## sequence_CurB0map_v4 0.084090 0.116166 264.000000
## Brain_res:age_Past -0.003367 0.002781 264.000000
## t value Pr(>|t|)
## (Intercept) 0.098 0.9219
## Brain_res 1.817 0.0703 .
## age_Past -1.290 0.1981
## sexfemale 2.062 0.0402 *
## sequence_PastB0map_onesizefitsall_v3 0.315 0.7529
## sequence_PastB0map_v4 -0.288 0.7739
## timepoint_Cur.L 0.159 0.8740
## sequence_CurB0map_v4 0.724 0.4698
## Brain_res:age_Past -1.211 0.2270
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.045
## age_Past -0.636 0.115
## sexfemale -0.033 -0.056 -0.086
## sqnc_PB0__3 -0.850 0.067 0.216 -0.049
## sqnc_PsB0_4 -0.493 0.029 0.061 -0.035 0.609
## timpnt_Cr.L 0.410 0.187 -0.190 -0.037 -0.180 -0.167
## sqnc_CrB0_4 -0.284 -0.248 -0.034 0.019 0.135 0.067 -0.763
## Brn_rs:g_Ps 0.079 -0.957 -0.097 0.046 -0.099 -0.033 -0.157 0.130
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 411.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1071 -0.5482 0.0547 0.6275 2.8111
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2423 0.4923
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.026789 0.156034 268.000000 -0.172 0.86381
## Brain_res 0.029448 0.011103 268.000000 2.652 0.00847 **
## Elapsed 0.064005 0.030323 268.000000 2.111 0.03572 *
## age_Past -0.012296 0.008932 268.000000 -1.377 0.16979
## sexfemale 0.132614 0.060220 268.000000 2.202 0.02850 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.169
## Elapsed -0.399 -0.325
## age_Past -0.849 -0.013 -0.055
## sexfemale -0.135 -0.060 0.017 -0.094
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 405.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.8546 -0.5122 -0.0168 0.6426 3.1310
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2488 0.4988
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -9.088e-16 3.019e-02 2.710e+02 0.000 1.000000
## Brain_res 3.796e-02 1.061e-02 2.710e+02 3.576 0.000413 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 513.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9362 -0.5435 -0.1172 0.6224 3.7896
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.3704 0.6086
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.42145 0.04139 271.00000 10.182 <2e-16 ***
## Brain_delta 0.03812 0.01249 271.00000 3.052 0.0025 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.456
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## mpraxis_mp2rtcr
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Accumbens_Area mpraxis_mp2rtcr
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3265.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5602 -0.6280 -0.1202 0.4305 4.6808
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11644 107.9
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 29.883 69.804 264.000 0.428
## Brain_res 11.201 6.048 264.000 1.852
## Elapsed 13.518 8.882 264.000 1.522
## age_Past -1.433 2.157 264.000 -0.664
## sexfemale 22.153 13.250 264.000 1.672
## sequence_PastB0map_onesizefitsall_v3 -42.880 51.576 264.000 -0.831
## sequence_PastB0map_v4 -18.849 82.714 264.000 -0.228
## sequence_CurB0map_v4 -7.361 19.409 264.000 -0.379
## Brain_res:Elapsed -5.941 2.223 264.000 -2.673
## Pr(>|t|)
## (Intercept) 0.66893
## Brain_res 0.06516 .
## Elapsed 0.12922
## age_Past 0.50723
## sexfemale 0.09574 .
## sequence_PastB0map_onesizefitsall_v3 0.40650
## sequence_PastB0map_v4 0.81991
## sequence_CurB0map_v4 0.70478
## Brain_res:Elapsed 0.00799 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res -0.069
## Elapsed -0.431 0.371
## age_Past -0.573 -0.135 0.038
## sexfemale -0.038 0.043 0.044 -0.098
## sqnc_PB0__3 -0.854 0.112 0.260 0.159 -0.035
## sqnc_PsB0_4 -0.524 0.132 0.283 0.026 -0.024 0.625
## sqnc_CrB0_4 0.274 -0.295 -0.530 -0.278 -0.029 -0.132 -0.223
## Brn_rs:Elps 0.112 -0.895 -0.435 0.199 -0.067 -0.164 -0.146 0.127
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3261.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4680 -0.6305 -0.1288 0.4111 4.7049
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11409 106.8
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 27.5465 68.9216 264.0000 0.400
## Brain_res -31.4630 9.2465 264.0000 -3.403
## age_Past -0.2665 2.1292 264.0000 -0.125
## sexfemale 22.2514 13.1042 264.0000 1.698
## sequence_PastB0map_onesizefitsall_v3 -67.6549 50.4661 264.0000 -1.341
## sequence_PastB0map_v4 -42.8666 79.7583 264.0000 -0.537
## timepoint_Cur.L -39.9740 17.8481 264.0000 -2.240
## sequence_CurB0map_v4 46.6936 24.9723 264.0000 1.870
## Brain_res:age_Past 1.8667 0.5978 264.0000 3.123
## Pr(>|t|)
## (Intercept) 0.689716
## Brain_res 0.000771 ***
## age_Past 0.900480
## sexfemale 0.090679 .
## sequence_PastB0map_onesizefitsall_v3 0.181202
## sequence_PastB0map_v4 0.591405
## timepoint_Cur.L 0.025944 *
## sequence_CurB0map_v4 0.062616 .
## Brain_res:age_Past 0.001991 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.045
## age_Past -0.636 0.115
## sexfemale -0.033 -0.056 -0.086
## sqnc_PB0__3 -0.850 0.067 0.216 -0.049
## sqnc_PsB0_4 -0.493 0.029 0.061 -0.035 0.609
## timpnt_Cr.L 0.410 0.187 -0.190 -0.037 -0.180 -0.167
## sqnc_CrB0_4 -0.284 -0.248 -0.034 0.019 0.135 0.067 -0.763
## Brn_rs:g_Ps 0.079 -0.957 -0.097 0.046 -0.099 -0.033 -0.157 0.130
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3305.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.6716 -0.6130 -0.1156 0.4385 4.7569
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11855 108.9
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -23.617 34.512 268.000 -0.684 0.494
## Brain_res -3.757 2.456 268.000 -1.530 0.127
## Elapsed 4.524 6.707 268.000 0.675 0.501
## age_Past 0.189 1.976 268.000 0.096 0.924
## sexfemale 18.930 13.320 268.000 1.421 0.156
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.169
## Elapsed -0.399 -0.325
## age_Past -0.849 -0.013 -0.055
## sexfemale -0.135 -0.060 0.017 -0.094
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3324
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7586 -0.6560 -0.1183 0.4495 4.9107
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11834 108.8
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.442e-14 6.584e+00 2.710e+02 0.000 1.000
## Brain_res -3.006e+00 2.315e+00 2.710e+02 -1.298 0.195
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3401.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9433 -0.4789 0.0036 0.4924 3.4894
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 15762 125.5
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -2.772 8.539 271.000 -0.325 0.7457
## Brain_delta -4.378 2.577 271.000 -1.699 0.0905 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.456
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## PutamenNAR_Overall_Accuracy
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Putamen NAR_Overall_Accuracy
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 358.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1763 -0.6270 -0.0024 0.6533 2.7758
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.1942 0.4406
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.083707 0.289779 264.000000
## Brain_res -0.067095 0.054954 264.000000
## Elapsed 0.080517 0.034985 264.000000
## age_Past -0.002228 0.009065 264.000000
## sexfemale -0.080426 0.054015 264.000000
## sequence_PastB0map_onesizefitsall_v3 -0.028701 0.207911 264.000000
## sequence_PastB0map_v4 -0.556613 0.339239 264.000000
## sequence_CurB0map_v4 0.007294 0.071894 264.000000
## Brain_res:Elapsed 0.027908 0.020667 264.000000
## t value Pr(>|t|)
## (Intercept) -0.289 0.7729
## Brain_res -1.221 0.2232
## Elapsed 2.301 0.0221 *
## age_Past -0.246 0.8060
## sexfemale -1.489 0.1377
## sequence_PastB0map_onesizefitsall_v3 -0.138 0.8903
## sequence_PastB0map_v4 -1.641 0.1020
## sequence_CurB0map_v4 0.101 0.9193
## Brain_res:Elapsed 1.350 0.1781
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.154
## Elapsed -0.418 0.142
## age_Past -0.631 -0.315 0.099
## sexfemale -0.037 -0.051 0.010 -0.062
## sqnc_PB0__3 -0.844 -0.022 0.220 0.207 -0.048
## sqnc_PsB0_4 -0.536 -0.106 0.257 0.093 -0.027 0.620
## sqnc_CrB0_4 0.330 0.040 -0.578 -0.298 -0.043 -0.167 -0.237
## Brn_rs:Elps -0.077 -0.916 -0.263 0.270 0.042 -0.014 0.042 -0.010
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 366.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.15189 -0.63657 0.01253 0.60867 2.70879
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.000
## Residual 0.1998 0.447
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 0.144657 0.291283 264.000000
## Brain_res 0.035653 0.095180 264.000000
## age_Past -0.006938 0.009006 264.000000
## sexfemale -0.085140 0.054787 264.000000
## sequence_PastB0map_onesizefitsall_v3 -0.098063 0.209848 264.000000
## sequence_PastB0map_v4 -0.740109 0.338955 264.000000
## timepoint_Cur.L -0.093261 0.075410 264.000000
## sequence_CurB0map_v4 0.221184 0.097182 264.000000
## Brain_res:age_Past -0.001596 0.005808 264.000000
## t value Pr(>|t|)
## (Intercept) 0.497 0.6199
## Brain_res 0.375 0.7083
## age_Past -0.770 0.4417
## sexfemale -1.554 0.1214
## sequence_PastB0map_onesizefitsall_v3 -0.467 0.6407
## sequence_PastB0map_v4 -2.184 0.0299 *
## timepoint_Cur.L -1.237 0.2173
## sequence_CurB0map_v4 2.276 0.0236 *
## Brain_res:age_Past -0.275 0.7837
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res 0.046
## age_Past -0.659 0.005
## sexfemale -0.038 -0.039 -0.073
## sqnc_PB0__3 -0.843 0.009 0.228 -0.048
## sqnc_PsB0_4 -0.505 0.070 0.089 -0.033 0.613
## timpnt_Cr.L 0.443 0.152 -0.246 -0.034 -0.197 -0.187
## sqnc_CrB0_4 -0.309 -0.190 0.047 0.007 0.130 0.090 -0.799
## Brn_rs:g_Ps -0.002 -0.973 -0.049 0.033 -0.027 -0.106 -0.104 0.140
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 353
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.11499 -0.68413 0.03341 0.67558 2.63387
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 1.218e-16 1.104e-08
## Residual 1.958e-01 4.424e-01
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.073641 0.143170 268.000000 -0.514 0.60742
## Brain_res -0.005700 0.021739 268.000000 -0.262 0.79338
## Elapsed 0.101369 0.026585 268.000000 3.813 0.00017 ***
## age_Past -0.007172 0.008144 268.000000 -0.881 0.37932
## sexfemale -0.084430 0.054055 268.000000 -1.562 0.11948
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.260
## Elapsed -0.409 -0.245
## age_Past -0.862 -0.169 -0.018
## sexfemale -0.131 -0.033 0.005 -0.088
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 353.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.14831 -0.63255 -0.00518 0.58899 3.09684
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2066 0.4545
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -9.969e-17 2.751e-02 2.710e+02 0.000 1.000
## Brain_res 9.890e-03 2.128e-02 2.710e+02 0.465 0.642
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 442.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7632 -0.6713 -0.0176 0.5740 3.2832
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2872 0.5359
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.604e-01 3.373e-02 2.710e+02 10.684 <2e-16 ***
## Brain_delta 2.886e-03 2.423e-02 2.710e+02 0.119 0.905
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.275
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## NAR_Overall_Efficiency
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Putamen NAR_Overall_Efficiency
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 130.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.2256 -0.5551 -0.0022 0.6720 4.1754
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08195 0.2863
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.109241 0.188269 264.000000
## Brain_res -0.053917 0.035704 264.000000
## Elapsed 0.009033 0.022730 264.000000
## age_Past -0.013966 0.005890 264.000000
## sexfemale 0.067825 0.035093 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.255555 0.135079 264.000000
## sequence_PastB0map_v4 0.096375 0.220403 264.000000
## sequence_CurB0map_v4 0.024585 0.046709 264.000000
## Brain_res:Elapsed 0.031041 0.013427 264.000000
## t value Pr(>|t|)
## (Intercept) -0.580 0.5622
## Brain_res -1.510 0.1322
## Elapsed 0.397 0.6914
## age_Past -2.371 0.0184 *
## sexfemale 1.933 0.0543 .
## sequence_PastB0map_onesizefitsall_v3 1.892 0.0596 .
## sequence_PastB0map_v4 0.437 0.6623
## sequence_CurB0map_v4 0.526 0.5991
## Brain_res:Elapsed 2.312 0.0216 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.154
## Elapsed -0.418 0.142
## age_Past -0.631 -0.315 0.099
## sexfemale -0.037 -0.051 0.010 -0.062
## sqnc_PB0__3 -0.844 -0.022 0.220 0.207 -0.048
## sqnc_PsB0_4 -0.536 -0.106 0.257 0.093 -0.027 0.620
## sqnc_CrB0_4 0.330 0.040 -0.578 -0.298 -0.043 -0.167 -0.237
## Brn_rs:Elps -0.077 -0.916 -0.263 0.270 0.042 -0.014 0.042 -0.010
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 138
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0721 -0.5606 -0.0358 0.6879 4.5344
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08395 0.2897
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 1.442e-02 1.888e-01 2.640e+02
## Brain_res 2.832e-02 6.170e-02 2.640e+02
## age_Past -1.873e-02 5.838e-03 2.640e+02
## sexfemale 6.354e-02 3.551e-02 2.640e+02
## sequence_PastB0map_onesizefitsall_v3 2.284e-01 1.360e-01 2.640e+02
## sequence_PastB0map_v4 1.164e-02 2.197e-01 2.640e+02
## timepoint_Cur.L 6.229e-04 4.888e-02 2.640e+02
## sequence_CurB0map_v4 5.417e-02 6.300e-02 2.640e+02
## Brain_res:age_Past -1.723e-04 3.765e-03 2.640e+02
## t value Pr(>|t|)
## (Intercept) 0.076 0.9392
## Brain_res 0.459 0.6466
## age_Past -3.209 0.0015 **
## sexfemale 1.789 0.0747 .
## sequence_PastB0map_onesizefitsall_v3 1.679 0.0944 .
## sequence_PastB0map_v4 0.053 0.9578
## timepoint_Cur.L 0.013 0.9898
## sequence_CurB0map_v4 0.860 0.3907
## Brain_res:age_Past -0.046 0.9635
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res 0.046
## age_Past -0.659 0.005
## sexfemale -0.038 -0.039 -0.073
## sqnc_PB0__3 -0.843 0.009 0.228 -0.048
## sqnc_PsB0_4 -0.505 0.070 0.089 -0.033 0.613
## timpnt_Cr.L 0.443 0.152 -0.246 -0.034 -0.197 -0.187
## sqnc_CrB0_4 -0.309 -0.190 0.047 0.007 0.130 0.090 -0.799
## Brn_rs:g_Ps -0.002 -0.973 -0.049 0.033 -0.027 -0.106 -0.104 0.140
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 126.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0488 -0.5047 -0.0140 0.6891 4.3636
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08402 0.2899
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.203451 0.093794 268.000000 2.169 0.030952 *
## Brain_res 0.021463 0.014242 268.000000 1.507 0.132967
## Elapsed 0.026166 0.017417 268.000000 1.502 0.134186
## age_Past -0.019286 0.005335 268.000000 -3.615 0.000359 ***
## sexfemale 0.068954 0.035413 268.000000 1.947 0.052559 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.260
## Elapsed -0.409 -0.245
## age_Past -0.862 -0.169 -0.018
## sexfemale -0.131 -0.033 0.005 -0.088
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 124
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.8459 -0.5897 0.0143 0.6706 5.0232
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.0886 0.2977
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.114e-16 1.802e-02 2.710e+02 0.00 1.000
## Brain_res 1.895e-02 1.393e-02 2.710e+02 1.36 0.175
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 438.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9770 -0.5854 -0.1403 0.5092 4.5626
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.07111 0.2667
## Residual 0.21371 0.4623
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.39970 0.03435 181.13964 11.636 <2e-16 ***
## Brain_delta 0.02101 0.02353 157.41323 0.893 0.373
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.267
## NAR_F1_Social_Cognition_Efficiency
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Putamen NAR_F1_Social_Cognition_Efficiency
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 420.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.4880 -0.5689 0.0324 0.6807 2.5472
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2458 0.4958
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.208341 0.326047 264.000000
## Brain_res -0.092019 0.061832 264.000000
## Elapsed 0.037230 0.039364 264.000000
## age_Past -0.009751 0.010200 264.000000
## sexfemale 0.139624 0.060775 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.146153 0.233932 264.000000
## sequence_PastB0map_v4 0.010598 0.381697 264.000000
## sequence_CurB0map_v4 0.103982 0.080892 264.000000
## Brain_res:Elapsed 0.046269 0.023254 264.000000
## t value Pr(>|t|)
## (Intercept) -0.639 0.5234
## Brain_res -1.488 0.1379
## Elapsed 0.946 0.3451
## age_Past -0.956 0.3399
## sexfemale 2.297 0.0224 *
## sequence_PastB0map_onesizefitsall_v3 0.625 0.5327
## sequence_PastB0map_v4 0.028 0.9779
## sequence_CurB0map_v4 1.285 0.1998
## Brain_res:Elapsed 1.990 0.0477 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.154
## Elapsed -0.418 0.142
## age_Past -0.631 -0.315 0.099
## sexfemale -0.037 -0.051 0.010 -0.062
## sqnc_PB0__3 -0.844 -0.022 0.220 0.207 -0.048
## sqnc_PsB0_4 -0.536 -0.106 0.257 0.093 -0.027 0.620
## sqnc_CrB0_4 0.330 0.040 -0.578 -0.298 -0.043 -0.167 -0.237
## Brn_rs:Elps -0.077 -0.916 -0.263 0.270 0.042 -0.014 0.042 -0.010
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 427.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0459 -0.5829 0.0445 0.6751 2.7879
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2516 0.5016
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 0.061055 0.326847 264.000000
## Brain_res 0.060718 0.106801 264.000000
## age_Past -0.017718 0.010105 264.000000
## sexfemale 0.131980 0.061476 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.076956 0.235469 264.000000
## sequence_PastB0map_v4 -0.167787 0.380339 264.000000
## timepoint_Cur.L -0.001386 0.084617 264.000000
## sequence_CurB0map_v4 0.179323 0.109047 264.000000
## Brain_res:age_Past -0.001919 0.006517 264.000000
## t value Pr(>|t|)
## (Intercept) 0.187 0.8520
## Brain_res 0.569 0.5702
## age_Past -1.753 0.0807 .
## sexfemale 2.147 0.0327 *
## sequence_PastB0map_onesizefitsall_v3 0.327 0.7441
## sequence_PastB0map_v4 -0.441 0.6595
## timepoint_Cur.L -0.016 0.9869
## sequence_CurB0map_v4 1.644 0.1013
## Brain_res:age_Past -0.294 0.7687
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res 0.046
## age_Past -0.659 0.005
## sexfemale -0.038 -0.039 -0.073
## sqnc_PB0__3 -0.843 0.009 0.228 -0.048
## sqnc_PsB0_4 -0.505 0.070 0.089 -0.033 0.613
## timpnt_Cr.L 0.443 0.152 -0.246 -0.034 -0.197 -0.187
## sqnc_CrB0_4 -0.309 -0.190 0.047 0.007 0.130 0.090 -0.799
## Brn_rs:g_Ps -0.002 -0.973 -0.049 0.033 -0.027 -0.106 -0.104 0.140
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 416.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.1381 -0.5493 0.0338 0.6143 2.6637
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2481 0.4981
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.064483 0.161194 268.000000 -0.400 0.68945
## Brain_res 0.018713 0.024476 268.000000 0.765 0.44520
## Elapsed 0.084536 0.029932 268.000000 2.824 0.00509 **
## age_Past -0.013171 0.009169 268.000000 -1.436 0.15205
## sexfemale 0.140735 0.060860 268.000000 2.312 0.02151 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.260
## Elapsed -0.409 -0.245
## age_Past -0.862 -0.169 -0.018
## sexfemale -0.131 -0.033 0.005 -0.088
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 414.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.7969 -0.5429 0.0297 0.6042 3.3007
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2588 0.5088
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -6.731e-16 3.079e-02 2.710e+02 0.000 1.000
## Brain_res 3.229e-02 2.382e-02 2.710e+02 1.356 0.176
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 520.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.0348 -0.5497 -0.0430 0.5415 3.9657
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.3824 0.6184
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.47172 0.03892 271.00000 12.119 <2e-16 ***
## Brain_delta 0.01923 0.02796 271.00000 0.688 0.492
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.275
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## mpraxis_mp2rtcr
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Putamen mpraxis_mp2rtcr
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3267.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5432 -0.6112 -0.1302 0.4451 4.6939
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11852 108.9
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 47.0517 71.5948 264.0000 0.657
## Brain_res 12.3657 13.5773 264.0000 0.911
## Elapsed 8.8428 8.6437 264.0000 1.023
## age_Past -0.4994 2.2397 264.0000 -0.223
## sexfemale 18.7699 13.3453 264.0000 1.406
## sequence_PastB0map_onesizefitsall_v3 -63.7924 51.3679 264.0000 -1.242
## sequence_PastB0map_v4 -39.1971 83.8147 264.0000 -0.468
## sequence_CurB0map_v4 -11.7905 17.7626 264.0000 -0.664
## Brain_res:Elapsed -7.8032 5.1062 264.0000 -1.528
## Pr(>|t|)
## (Intercept) 0.512
## Brain_res 0.363
## Elapsed 0.307
## age_Past 0.824
## sexfemale 0.161
## sequence_PastB0map_onesizefitsall_v3 0.215
## sequence_PastB0map_v4 0.640
## sequence_CurB0map_v4 0.507
## Brain_res:Elapsed 0.128
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.154
## Elapsed -0.418 0.142
## age_Past -0.631 -0.315 0.099
## sexfemale -0.037 -0.051 0.010 -0.062
## sqnc_PB0__3 -0.844 -0.022 0.220 0.207 -0.048
## sqnc_PsB0_4 -0.536 -0.106 0.257 0.093 -0.027 0.620
## sqnc_CrB0_4 0.330 0.040 -0.578 -0.298 -0.043 -0.167 -0.237
## Brn_rs:Elps -0.077 -0.916 -0.263 0.270 0.042 -0.014 0.042 -0.010
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3263
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4155 -0.5885 -0.1409 0.4172 4.6766
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11609 107.7
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 0.5371 70.2142 264.0000 0.008
## Brain_res -56.8384 22.9433 264.0000 -2.477
## age_Past 0.9687 2.1708 264.0000 0.446
## sexfemale 21.1495 13.2065 264.0000 1.601
## sequence_PastB0map_onesizefitsall_v3 -56.2528 50.5842 264.0000 -1.112
## sequence_PastB0map_v4 -37.1519 81.7056 264.0000 -0.455
## timepoint_Cur.L -38.0897 18.1776 264.0000 -2.095
## sequence_CurB0map_v4 36.6703 23.4259 264.0000 1.565
## Brain_res:age_Past 3.0662 1.4001 264.0000 2.190
## Pr(>|t|)
## (Intercept) 0.9939
## Brain_res 0.0139 *
## age_Past 0.6558
## sexfemale 0.1105
## sequence_PastB0map_onesizefitsall_v3 0.2671
## sequence_PastB0map_v4 0.6497
## timepoint_Cur.L 0.0371 *
## sequence_CurB0map_v4 0.1187
## Brain_res:age_Past 0.0294 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res 0.046
## age_Past -0.659 0.005
## sexfemale -0.038 -0.039 -0.073
## sqnc_PB0__3 -0.843 0.009 0.228 -0.048
## sqnc_PsB0_4 -0.505 0.070 0.089 -0.033 0.613
## timpnt_Cr.L 0.443 0.152 -0.246 -0.034 -0.197 -0.187
## sqnc_CrB0_4 -0.309 -0.190 0.047 0.007 0.130 0.090 -0.799
## Brn_rs:g_Ps -0.002 -0.973 -0.049 0.033 -0.027 -0.106 -0.104 0.140
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3304.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.6739 -0.6183 -0.1324 0.4435 4.7694
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0
## Residual 11890 109
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -26.1788 35.2840 268.0000 -0.742 0.459
## Brain_res -6.6870 5.3575 268.0000 -1.248 0.213
## Elapsed 3.1937 6.5519 268.0000 0.487 0.626
## age_Past 0.5721 2.0071 268.0000 0.285 0.776
## sexfemale 18.2420 13.3217 268.0000 1.369 0.172
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res 0.260
## Elapsed -0.409 -0.245
## age_Past -0.862 -0.169 -0.018
## sexfemale -0.131 -0.033 0.005 -0.088
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3323
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7904 -0.6424 -0.1118 0.4593 4.8758
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11858 108.9
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.278e-14 6.591e+00 2.710e+02 0.000 1.000
## Brain_res -5.425e+00 5.098e+00 2.710e+02 -1.064 0.288
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3399.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9307 -0.4816 0.0027 0.5331 3.4574
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 15744 125.5
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -5.507 7.898 271.000 -0.697 0.4863
## Brain_delta -10.151 5.674 271.000 -1.789 0.0747 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.275
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## CaudateNAR_Overall_Accuracy
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Caudate NAR_Overall_Accuracy
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 355.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2768 -0.6759 0.0324 0.6709 2.7072
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 5.059e-17 7.113e-09
## Residual 1.921e-01 4.383e-01
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.055047 0.282056 264.000000
## Brain_res -0.112007 0.056171 264.000000
## Elapsed 0.079832 0.033279 264.000000
## age_Past -0.001955 0.008743 264.000000
## sexfemale -0.082037 0.053706 264.000000
## sequence_PastB0map_onesizefitsall_v3 -0.058951 0.208354 264.000000
## sequence_PastB0map_v4 -0.588067 0.336542 264.000000
## sequence_CurB0map_v4 0.011160 0.071358 264.000000
## Brain_res:Elapsed 0.042458 0.019640 264.000000
## t value Pr(>|t|)
## (Intercept) -0.195 0.8454
## Brain_res -1.994 0.0472 *
## Elapsed 2.399 0.0171 *
## age_Past -0.224 0.8232
## sexfemale -1.528 0.1278
## sequence_PastB0map_onesizefitsall_v3 -0.283 0.7774
## sequence_PastB0map_v4 -1.747 0.0817 .
## sequence_CurB0map_v4 0.156 0.8758
## Brain_res:Elapsed 2.162 0.0315 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.032
## Elapsed -0.424 0.127
## age_Past -0.598 -0.134 0.093
## sexfemale -0.032 -0.027 0.017 -0.083
## sqnc_PB0__3 -0.850 0.022 0.232 0.174 -0.045
## sqnc_PsB0_4 -0.523 -0.042 0.260 0.036 -0.028 0.625
## sqnc_CrB0_4 0.317 -0.033 -0.588 -0.292 -0.039 -0.156 -0.219
## Brn_rs:Elps 0.004 -0.909 -0.191 0.189 0.011 -0.082 -0.025 0.019
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 366.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1506 -0.6553 0.0169 0.6039 2.7081
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0 0.0000
## Residual 0.2 0.4472
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 1.154e-01 2.907e-01 2.640e+02
## Brain_res 9.133e-03 1.057e-01 2.640e+02
## age_Past -6.169e-03 8.982e-03 2.640e+02
## sexfemale -8.397e-02 5.483e-02 2.640e+02
## sequence_PastB0map_onesizefitsall_v3 -9.038e-02 2.130e-01 2.640e+02
## sequence_PastB0map_v4 -7.245e-01 3.407e-01 2.640e+02
## timepoint_Cur.L -1.023e-01 7.467e-02 2.640e+02
## sequence_CurB0map_v4 2.337e-01 9.730e-02 2.640e+02
## Brain_res:age_Past -5.509e-04 6.376e-03 2.640e+02
## t value Pr(>|t|)
## (Intercept) 0.397 0.6918
## Brain_res 0.086 0.9312
## age_Past -0.687 0.4928
## sexfemale -1.532 0.1268
## sequence_PastB0map_onesizefitsall_v3 -0.424 0.6716
## sequence_PastB0map_v4 -2.126 0.0344 *
## timepoint_Cur.L -1.370 0.1717
## sequence_CurB0map_v4 2.402 0.0170 *
## Brain_res:age_Past -0.086 0.9312
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.113
## age_Past -0.642 0.170
## sexfemale -0.034 -0.030 -0.084
## sqnc_PB0__3 -0.852 0.091 0.221 -0.045
## sqnc_PsB0_4 -0.511 0.084 0.066 -0.029 0.625
## timpnt_Cr.L 0.411 0.134 -0.186 -0.034 -0.194 -0.183
## sqnc_CrB0_4 -0.264 -0.215 -0.030 0.008 0.123 0.084 -0.794
## Brn_rs:g_Ps 0.142 -0.974 -0.158 0.021 -0.125 -0.124 -0.097 0.170
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 352.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.12349 -0.68778 0.04352 0.67617 2.63334
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.1957 0.4424
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.063349 0.138237 268.000000 -0.458 0.647133
## Brain_res -0.007149 0.023281 268.000000 -0.307 0.759019
## Elapsed 0.100815 0.026046 268.000000 3.871 0.000136 ***
## age_Past -0.007764 0.008063 268.000000 -0.963 0.336426
## sexfemale -0.084031 0.054096 268.000000 -1.553 0.121518
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res -0.012
## Elapsed -0.363 -0.144
## age_Past -0.856 0.094 -0.075
## sexfemale -0.126 -0.052 0.005 -0.099
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 353.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1633 -0.6519 -0.0036 0.5982 3.0953
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 8.046e-17 8.970e-09
## Residual 2.067e-01 4.546e-01
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.776e-17 2.751e-02 2.710e+02 0.000 1.000
## Brain_res 5.525e-03 2.356e-02 2.710e+02 0.234 0.815
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 442.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7735 -0.6636 -0.0175 0.5712 3.2631
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2869 0.5357
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.35763 0.03331 271.00000 10.736 <2e-16 ***
## Brain_delta 0.01370 0.02724 271.00000 0.503 0.615
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.230
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## NAR_Overall_Efficiency
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Caudate NAR_Overall_Efficiency
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 127.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.2172 -0.5636 0.0184 0.6758 3.8141
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08102 0.2846
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.108605 0.183181 264.000000
## Brain_res -0.072434 0.036480 264.000000
## Elapsed 0.015694 0.021613 264.000000
## age_Past -0.012218 0.005678 264.000000
## sexfemale 0.064827 0.034879 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.219500 0.135316 264.000000
## sequence_PastB0map_v4 0.062694 0.218567 264.000000
## sequence_CurB0map_v4 0.020010 0.046344 264.000000
## Brain_res:Elapsed 0.036935 0.012755 264.000000
## t value Pr(>|t|)
## (Intercept) -0.593 0.5538
## Brain_res -1.986 0.0481 *
## Elapsed 0.726 0.4684
## age_Past -2.152 0.0323 *
## sexfemale 1.859 0.0642 .
## sequence_PastB0map_onesizefitsall_v3 1.622 0.1060
## sequence_PastB0map_v4 0.287 0.7745
## sequence_CurB0map_v4 0.432 0.6663
## Brain_res:Elapsed 2.896 0.0041 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.032
## Elapsed -0.424 0.127
## age_Past -0.598 -0.134 0.093
## sexfemale -0.032 -0.027 0.017 -0.083
## sqnc_PB0__3 -0.850 0.022 0.232 0.174 -0.045
## sqnc_PsB0_4 -0.523 -0.042 0.260 0.036 -0.028 0.625
## sqnc_CrB0_4 0.317 -0.033 -0.588 -0.292 -0.039 -0.156 -0.219
## Brn_rs:Elps 0.004 -0.909 -0.191 0.189 0.011 -0.082 -0.025 0.019
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 138.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0976 -0.5475 -0.0506 0.6696 4.5191
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.00
## Residual 0.0841 0.29
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -2.221e-02 1.885e-01 2.640e+02
## Brain_res 4.003e-02 6.853e-02 2.640e+02
## age_Past -1.597e-02 5.825e-03 2.640e+02
## sexfemale 6.282e-02 3.555e-02 2.640e+02
## sequence_PastB0map_onesizefitsall_v3 2.195e-01 1.381e-01 2.640e+02
## sequence_PastB0map_v4 1.488e-02 2.210e-01 2.640e+02
## timepoint_Cur.L -4.093e-03 4.842e-02 2.640e+02
## sequence_CurB0map_v4 5.630e-02 6.309e-02 2.640e+02
## Brain_res:age_Past -8.967e-04 4.135e-03 2.640e+02
## t value Pr(>|t|)
## (Intercept) -0.118 0.90632
## Brain_res 0.584 0.55968
## age_Past -2.742 0.00652 **
## sexfemale 1.767 0.07838 .
## sequence_PastB0map_onesizefitsall_v3 1.589 0.11320
## sequence_PastB0map_v4 0.067 0.94635
## timepoint_Cur.L -0.085 0.93269
## sequence_CurB0map_v4 0.892 0.37306
## Brain_res:age_Past -0.217 0.82848
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.113
## age_Past -0.642 0.170
## sexfemale -0.034 -0.030 -0.084
## sqnc_PB0__3 -0.852 0.091 0.221 -0.045
## sqnc_PsB0_4 -0.511 0.084 0.066 -0.029 0.625
## timpnt_Cr.L 0.411 0.134 -0.186 -0.034 -0.194 -0.183
## sqnc_CrB0_4 -0.264 -0.215 -0.030 0.008 0.123 0.084 -0.794
## Brn_rs:g_Ps 0.142 -0.974 -0.158 0.021 -0.125 -0.124 -0.097 0.170
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 125.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0614 -0.5334 -0.0187 0.6931 4.3149
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.0838 0.2895
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.164749 0.090452 268.000000 1.821 0.06966 .
## Brain_res 0.026199 0.015233 268.000000 1.720 0.08661 .
## Elapsed 0.028366 0.017042 268.000000 1.664 0.09719 .
## age_Past -0.017078 0.005276 268.000000 -3.237 0.00136 **
## sexfemale 0.067538 0.035396 268.000000 1.908 0.05745 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res -0.012
## Elapsed -0.363 -0.144
## age_Past -0.856 0.094 -0.075
## sexfemale -0.126 -0.052 0.005 -0.099
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 120.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.8753 -0.5772 -0.0229 0.6851 4.9138
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.00000 0.0000
## Residual 0.08753 0.2959
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.100e-16 1.791e-02 2.710e+02 0.000 1.0000
## Brain_res 3.487e-02 1.534e-02 2.710e+02 2.274 0.0237 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 433.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9309 -0.5979 -0.1222 0.5113 4.5996
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.05586 0.2363
## Residual 0.22369 0.4730
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.38928 0.03355 161.43187 11.604 <2e-16 ***
## Brain_delta 0.06012 0.02663 235.94019 2.258 0.0249 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.228
## NAR_F1_Social_Cognition_Efficiency
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Caudate NAR_F1_Social_Cognition_Efficiency
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 419.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.4563 -0.5877 0.0409 0.6886 2.5946
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.000 0.000
## Residual 0.245 0.495
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) -0.173927 0.318562 264.000000
## Brain_res -0.070722 0.063441 264.000000
## Elapsed 0.046601 0.037586 264.000000
## age_Past -0.009018 0.009874 264.000000
## sexfemale 0.133699 0.060657 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.092128 0.235321 264.000000
## sequence_PastB0map_v4 -0.068771 0.380101 264.000000
## sequence_CurB0map_v4 0.098921 0.080594 264.000000
## Brain_res:Elapsed 0.041552 0.022182 264.000000
## t value Pr(>|t|)
## (Intercept) -0.546 0.5855
## Brain_res -1.115 0.2660
## Elapsed 1.240 0.2161
## age_Past -0.913 0.3619
## sexfemale 2.204 0.0284 *
## sequence_PastB0map_onesizefitsall_v3 0.391 0.6957
## sequence_PastB0map_v4 -0.181 0.8566
## sequence_CurB0map_v4 1.227 0.2208
## Brain_res:Elapsed 1.873 0.0621 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.032
## Elapsed -0.424 0.127
## age_Past -0.598 -0.134 0.093
## sexfemale -0.032 -0.027 0.017 -0.083
## sqnc_PB0__3 -0.850 0.022 0.232 0.174 -0.045
## sqnc_PsB0_4 -0.523 -0.042 0.260 0.036 -0.028 0.625
## sqnc_CrB0_4 0.317 -0.033 -0.588 -0.292 -0.039 -0.156 -0.219
## Brn_rs:Elps 0.004 -0.909 -0.191 0.189 0.011 -0.082 -0.025 0.019
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 426.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0462 -0.5875 0.0445 0.6338 2.7437
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2506 0.5006
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 0.024131 0.325441 264.000000
## Brain_res 0.082500 0.118308 264.000000
## age_Past -0.013964 0.010055 264.000000
## sexfemale 0.130199 0.061375 264.000000
## sequence_PastB0map_onesizefitsall_v3 0.056689 0.238389 264.000000
## sequence_PastB0map_v4 -0.191697 0.381444 264.000000
## timepoint_Cur.L -0.001254 0.083584 264.000000
## sequence_CurB0map_v4 0.171805 0.108922 264.000000
## Brain_res:age_Past -0.002510 0.007138 264.000000
## t value Pr(>|t|)
## (Intercept) 0.074 0.9409
## Brain_res 0.697 0.4862
## age_Past -1.389 0.1661
## sexfemale 2.121 0.0348 *
## sequence_PastB0map_onesizefitsall_v3 0.238 0.8122
## sequence_PastB0map_v4 -0.503 0.6157
## timepoint_Cur.L -0.015 0.9880
## sequence_CurB0map_v4 1.577 0.1159
## Brain_res:age_Past -0.352 0.7253
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.113
## age_Past -0.642 0.170
## sexfemale -0.034 -0.030 -0.084
## sqnc_PB0__3 -0.852 0.091 0.221 -0.045
## sqnc_PsB0_4 -0.511 0.084 0.066 -0.029 0.625
## timpnt_Cr.L 0.411 0.134 -0.186 -0.034 -0.194 -0.183
## sqnc_CrB0_4 -0.264 -0.215 -0.030 0.008 0.123 0.084 -0.794
## Brn_rs:g_Ps 0.142 -0.974 -0.158 0.021 -0.125 -0.124 -0.097 0.170
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 414.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.2027 -0.5939 0.0345 0.6219 2.7398
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2465 0.4965
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.099466 0.155143 268.000000 -0.641 0.52199
## Brain_res 0.039918 0.026128 268.000000 1.528 0.12774
## Elapsed 0.083695 0.029231 268.000000 2.863 0.00453 **
## age_Past -0.010690 0.009049 268.000000 -1.181 0.23850
## sexfemale 0.137444 0.060712 268.000000 2.264 0.02438 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res -0.012
## Elapsed -0.363 -0.144
## age_Past -0.856 0.094 -0.075
## sexfemale -0.126 -0.052 0.005 -0.099
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 411.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.8751 -0.5594 0.0364 0.5966 3.1932
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.2564 0.5063
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -1.786e-16 3.065e-02 2.710e+02 0.000 1.0000
## Brain_res 5.528e-02 2.625e-02 2.710e+02 2.106 0.0361 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 516.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.0789 -0.5589 -0.0256 0.5505 3.8245
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0.0000 0.0000
## Residual 0.3774 0.6144
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.46138 0.03821 271.00000 12.076 <2e-16 ***
## Brain_delta 0.06291 0.03125 271.00000 2.013 0.0451 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.230
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## mpraxis_mp2rtcr
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## Warning: Factor `bblid` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
##
##
## Caudate mpraxis_mp2rtcr
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res * Elapsed + age_Past + sex + sequence_Past +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3263.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7292 -0.6245 -0.1284 0.4533 4.8129
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11689 108.1
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 49.505 69.577 264.000 0.712
## Brain_res 25.332 13.856 264.000 1.828
## Elapsed 7.718 8.209 264.000 0.940
## age_Past -1.283 2.157 264.000 -0.595
## sexfemale 19.395 13.248 264.000 1.464
## sequence_PastB0map_onesizefitsall_v3 -52.661 51.396 264.000 -1.025
## sequence_PastB0map_v4 -31.531 83.017 264.000 -0.380
## sequence_CurB0map_v4 -10.490 17.602 264.000 -0.596
## Brain_res:Elapsed -12.202 4.845 264.000 -2.519
## Pr(>|t|)
## (Intercept) 0.4774
## Brain_res 0.0686 .
## Elapsed 0.3480
## age_Past 0.5524
## sexfemale 0.1444
## sequence_PastB0map_onesizefitsall_v3 0.3065
## sequence_PastB0map_v4 0.7044
## sequence_CurB0map_v4 0.5517
## Brain_res:Elapsed 0.0124 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst sexfml s_PB0__ s_PB0_4 s_CB0_
## Brain_res 0.032
## Elapsed -0.424 0.127
## age_Past -0.598 -0.134 0.093
## sexfemale -0.032 -0.027 0.017 -0.083
## sqnc_PB0__3 -0.850 0.022 0.232 0.174 -0.045
## sqnc_PsB0_4 -0.523 -0.042 0.260 0.036 -0.028 0.625
## sqnc_CrB0_4 0.317 -0.033 -0.588 -0.292 -0.039 -0.156 -0.219
## Brn_rs:Elps 0.004 -0.909 -0.191 0.189 0.011 -0.082 -0.025 0.019
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Beh_res ~ Brain_res * age_Past + sex + sequence_Past + timepoint_Cur +
## sequence_Cur + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3264.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4715 -0.6247 -0.1406 0.4488 4.6594
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11690 108.1
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 28.6272 70.2865 264.0000 0.407
## Brain_res -53.1598 25.5514 264.0000 -2.081
## age_Past -0.2232 2.1717 264.0000 -0.103
## sexfemale 20.8818 13.2552 264.0000 1.575
## sequence_PastB0map_onesizefitsall_v3 -61.2117 51.4856 264.0000 -1.189
## sequence_PastB0map_v4 -36.4101 82.3814 264.0000 -0.442
## timepoint_Cur.L -35.3871 18.0519 264.0000 -1.960
## sequence_CurB0map_v4 35.4656 23.5242 264.0000 1.508
## Brain_res:age_Past 2.8052 1.5416 264.0000 1.820
## Pr(>|t|)
## (Intercept) 0.6841
## Brain_res 0.0384 *
## age_Past 0.9182
## sexfemale 0.1164
## sequence_PastB0map_onesizefitsall_v3 0.2355
## sequence_PastB0map_v4 0.6589
## timepoint_Cur.L 0.0510 .
## sequence_CurB0map_v4 0.1328
## Brain_res:age_Past 0.0699 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs ag_Pst sexfml s_PB0__ s_PB0_4 tm_C.L s_CB0_
## Brain_res -0.113
## age_Past -0.642 0.170
## sexfemale -0.034 -0.030 -0.084
## sqnc_PB0__3 -0.852 0.091 0.221 -0.045
## sqnc_PsB0_4 -0.511 0.084 0.066 -0.029 0.625
## timpnt_Cr.L 0.411 0.134 -0.186 -0.034 -0.194 -0.183
## sqnc_CrB0_4 -0.264 -0.215 -0.030 0.008 0.123 0.084 -0.794
## Brn_rs:g_Ps 0.142 -0.974 -0.158 0.021 -0.125 -0.124 -0.097 0.170
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + Elapsed + age_Past + sex + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3304.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7414 -0.6365 -0.1167 0.4252 4.7664
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0
## Residual 11886 109
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -14.18052 34.06481 268.00000 -0.416 0.678
## Brain_res -7.34496 5.73688 268.00000 -1.280 0.202
## Elapsed 2.37602 6.41830 268.00000 0.370 0.712
## age_Past -0.08919 1.98688 268.00000 -0.045 0.964
## sexfemale 18.58458 13.33054 268.00000 1.394 0.164
##
## Correlation of Fixed Effects:
## (Intr) Brn_rs Elapsd ag_Pst
## Brain_res -0.012
## Elapsed -0.363 -0.144
## age_Past -0.856 0.094 -0.075
## sexfemale -0.126 -0.052 0.005 -0.099
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_res ~ Brain_res + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3322.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8269 -0.6540 -0.1238 0.4329 4.9039
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 11846 108.8
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -3.134e-14 6.587e+00 2.710e+02 0.000 1.000
## Brain_res -6.684e+00 5.642e+00 2.710e+02 -1.185 0.237
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_res 0.000
## convergence code: 0
## boundary (singular) fit: see ?isSingular
## boundary (singular) fit: see ?isSingular
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Beh_delta ~ Brain_delta + (1 | bblid)
## Data: deltaTable
##
## REML criterion at convergence: 3400.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9445 -0.4725 0.0119 0.5381 3.4950
##
## Random effects:
## Groups Name Variance Std.Dev.
## bblid (Intercept) 0 0.0
## Residual 15785 125.6
## Number of obs: 273, groups: bblid, 240
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -6.551 7.813 271.000 -0.838 0.403
## Brain_delta -10.088 6.390 271.000 -1.579 0.116
##
## Correlation of Fixed Effects:
## (Intr)
## Brain_delta -0.230
## convergence code: 0
## boundary (singular) fit: see ?isSingular
# #compare to cog only
# rmBBLIDs <- tytables %>%
# group_by(bblid) %>%
# summarize(n=n()) %>%
# filter(n>1) %>%
# select(bblid)
#
# rmTable <- tytables %>%
# filter(bblid %in% rmBBLIDs$bblid) %>%
# select(bblid,timepoint,cnbAgeMonths)%>%
# arrange(bblid)
#
# deltaTable <- rmTable %>%
# group_by(bblid) %>%
# summarize(vdiff2 = cnbAgeMonths[which(timepoint==2)]-cnbAgeMonths[which(timepoint==1)],
# vdiff3 = ifelse(max(timepoint)==3,cnbAgeMonths[which(timepoint==3)]-cnbAgeMonths[which(timepoint==2)],NA))